
from datetime import datetime as dt
import os

from github import Github


lowercase    :   Optional[Any]						=			[
    'good first issue',
    'good second issue',
    'good difficult issue',
    'feature request',
    'new model',
    'wip',
]




def       _SCREAMING_SNAKE_CASE   (						)   ->       str:






							'''simple docstring'''





							__UpperCamelCase      :  List[str]       =   Github(os.environ["GITHUB_TOKEN"])
							__UpperCamelCase      :  Optional[Any]       =   g.get_repo("huggingface/transformers")
							__UpperCamelCase      :  int       =   repo.get_issues(state="open")

							for issue in open_issues:
														__UpperCamelCase      :  str       =   sorted([comment for comment in issue.get_comments()]		,    key=lambda _lowerCamelCase: i.created_at		,    reverse=_lowerCamelCase)
														__UpperCamelCase      :  Dict       =   comments[0] if len(_lowerCamelCase) > 0 else None
														if (
														    last_comment is not None
														    and last_comment.user.login == "github-actions[bot]"
														    and (dt.utcnow() - issue.updated_at).days > 7
														    and (dt.utcnow() - issue.created_at).days >= 30
														    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels())
														):
																					# print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
																					issue.edit(state="closed")
														elif (
														    (dt.utcnow() - issue.updated_at).days > 23
														    and (dt.utcnow() - issue.created_at).days >= 30
														    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels())
														):
																					# print(f"Would add stale comment to {issue.number}")
																					issue.create_comment(
																					    "This issue has been automatically marked as stale because it has not had "
																					    "recent activity. If you think this still needs to be addressed "
																					    "please comment on this thread.\n\nPlease note that issues that do not follow the "
																					    "[contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) "
																					    "are likely to be ignored.")


if __name__ == "__main__":
		main()

import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase    :   List[str]						=			logging.get_logger(__name__)




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:Dict	,  *a						:Tuple	,  **a						:List[Any]		)						->					None:
								warnings.warn(
								    "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
								    " Please use PerceiverImageProcessor instead."	,  a	,  )
								super().__init__(*a	,  **a		)